Parallel Processing
Parallel processing
Parallel processing
Parallel processing is a processing method that uses multiple processors simultaneously to execute a single program or task Processor is a electronic component on a computer's motherboard that interprets and carries out the basic instructions that operate the computer
Parallel processing is a mode of computer operation in which a process is split into parts that execute simultaneously on different processors attached to the same computer. It can also be defined as simultaneous processing by two or more processing units.
Parallel processing is a mode of computer operation in which a process is split into parts that execute simultaneously on different processors attached to the same computer. It can also be defined as simultaneous processing by two or more processing units.
Some processors are faster than others due to differences in their clock speed, number of cores, cache size, and architecture. Processors with higher clock speeds can execute more instructions per second, while processors with more cores can handle multiple tasks simultaneously. Additionally, a larger cache size can reduce memory access times, and more efficient architecture can improve overall processing efficiency.
MIMD (Multiple Instruction, Multiple Data) requires that multiple processors or computing cores concurrently execute multiple instructions on multiple sets of data. This architecture allows for parallel processing of independent tasks, improving overall system efficiency and performance. MIMD systems can be heterogeneous (different processors executing different instructions) or homogeneous (same processors executing the same instructions).
True multi-tasking is achieved through parallel processors. If you only have one processor, only one task can execute at a time. You can still multi-task by rapidly switching between all the running processes, but you cannot have two processes running simultaneously. With two or more processors running in parallel, you can.
The two techniques used to increase the clock rate R in a computer system are pipelining and parallel processing. Pipelining involves breaking down the execution of instructions into smaller stages that can be processed simultaneously, increasing overall efficiency. Parallel processing involves using multiple processors to execute tasks concurrently, further boosting computational speed. Both techniques aim to optimize the utilization of hardware resources to enhance performance.
Single processor can execute 2 process concurrently means when one is doing i/o activity at tht time another is executing.. but not possible tht both are executing cpu at same time
(Single instruction, Multiple Data) A process that allows the CPU to execute a single instruction simultaneously on multiple peices of data, rather than by repetitive looping.
In simple terms a single processor can only process one machine instruction at a time; it's just not possible to execute two or more instructions simultaneously and therefore not possible to execute 2 programs simultaneously. However, it's not quite as simple as that because a modern processor can have 2 or more cores, in which case it is possible to execute 2 or more instructions simultaneously. However, that's not quite the same thing as executing 2 programs simultaneously as we invariably execute far more threads of execution than we have cores available. Note that a program consists of one or more processes and a process consists of one or more threads of execution. Although it is theoretically possible to execute two threads simultaneously upon two cores, when those cores share the same processor they also share the same L2 cache and that's really only beneficial when both threads share the same process. With 2 independent processors there's a better chance of simultaneous program execution, however it's nigh on impossible to guarantee this unless the system is specifically designed for that purpose. In a multi-processing, multi-threaded environment, task-switching makes it next to impossible for any two independent programs to execute simultaneously because every thread has to yield to waiting threads.